Md. Atabuzzaman

According to our database, Md. Atabuzzaman authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ENTER: Event Based Interpretable Reasoning for VideoQA.

Hammad A. Ayyubi, Junzhang Liu, Ali Asgarov, Zaber Ibn Abdul Hakim, Najibul Haque Sarker, Zhecan Wang, Chia-Wei Tang, Hani Alomari, Md. Atabuzzaman, Xudong Lin, Naveen Reddy Dyava, Shih-Fu Chang, Chris Thomas

CoRR, January, 2025

Do the Explanations Make Sense? Explainable Fake Review Identification and Users' Perspectives on Explanations.

Md Shajalal, Md. Atabuzzaman, Alexander Boden, Gunnar Stevens, Delong Du

Proceedings of the Joint Proceedings of the xAI 2025 Late-breaking Work, 2025

Interpretable Sexism Detection with Explainable Transformers.

Shamima Rayhana, Md Shajalal, Md. Atabuzzaman, Gunnar Stevens

Proceedings of the Joint Proceedings of the xAI 2025 Late-breaking Work, 2025

Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models.

Md. Atabuzzaman, Andrew Zhang, Christopher Thomas

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models.

Md. Atabuzzaman, Ali Asgarov, Christopher Thomas

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Real-Time Ultra-Fine-Grained Surgical Instrument Classification.

Md. Atabuzzaman, Gino DiMatteo, Hani Alomari, Chiawei Tang, Connor Hale, Adam E. Goode, David Ryan King, Chris Thomas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Attention-Based Code Summarization for Multi-label Vulnerability Detection.

Maksuda Bilkis Baby, Md. Atabuzzaman, Md Shajalal, Gunnar Stevens

Proceedings of the Cryptology and Network Security - 24th International Conference, 2025

2024

What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers.

Md Shajalal, Md. Atabuzzaman, Alexander Boden, Gunnar Stevens, Delong Du

CoRR, 2024

JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images.

Zhecan Wang, Junzhang Liu, Chia-Wei Tang, Hani Alomari, Anushka Sivakumar, Rui Sun, Wenhao Li, Md. Atabuzzaman, Hammad A. Ayyubi, Haoxuan You, Alvi Md. Ishmam, Kai-Wei Chang, Shih-Fu Chang, Christopher Thomas

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Arabic Sentiment Analysis with Noisy Deep Explainable Model.

Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Alexander Boden

Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023

2022

Textual Entailment Recognition with Semantic Features from Empirical Text Representation.

Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Md. Rezaul Karim

CoRR, 2022

Identifying Duplicate Questions Leveraging Recurrent Neural Network.

Maksuda Bilkis Baby, Bushra Ankhari, Md Shajalal, Md. Atabuzzaman, Fazle Rabbi, Masud Ibn Afjal

TCCE, 2022

2021

Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts.

Md. Atabuzzaman, Md Shajalal, M. Elius Ahmed, Masud Ibn Afjal, Masaki Aono

IEEE Access, 2021